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AUD USD price action chart outlook The AUD/USD, also known by traders as the “Aussie”, is one of the most actively traded currency pairs in the forex market, often influenced by commodity prices and risk sentiment. Today’s focus on the AUDUSD pair comes as Australia releases several high-impact indicators including the Melbourne Institute CPI, ANZ job advertisements, building approvals, corporate profits, and the RBA commodity price index, while in the U.S., markets remain quiet due to the Labor Day holiday. Fundamentally, stronger-than-expected CPI and building approvals would boost the Aussie as they reflect underlying inflationary pressures and construction sector growth, while an uptick in corporate profits and commodity prices would further strengthen the outlook by signaling resilience in domestic demand and trade balance. However, thin U.S. liquidity due to the holiday could result in irregular volatility, meaning traders should be cautious of sudden price swings despite the broadly supportive Australian data backdrop. Image Chart Notes: • Chart time-zone is UTC (+03:00) • Candles’ time-frame is 4h. On the AUD/USD H4 chart technical analysis, the price is moving on a bullish short-term trend, with the last two bullish candles testing the 0.618 Fibonacci retracement level near 0.6547, which aligns with the long-term bearish descending trend line. Despite this recovery, the price action is still fluctuating between the 0.5 and 0.618 Fibonacci retracement zones, suggesting consolidation within a broader range. The Ichimoku Cloud is positioned below the candles, turning green with widening structure, while the Leading Span A is moving upward, reinforcing bullish sentiment. Momentum is also supported by the %R (14) at -2.78, indicating the pair is near overbought territory, yet still showing strong bullish pressure. Overall, AUD-USD price action suggests short-term upside potential, but traders should monitor the 0.6547–0.6560 resistance area closely as a decisive break above it could open the door toward 0.6580, while rejection may pull the pair back into the consolidation zone. •DISCLAIMER: Please note that the above analysis is not an investment suggestion by “Capitalcore LLC”. This post has been published only for educational purposes. Capitalcore

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USDT-BEP20: 0x6aa610b7c367a2b367343a04a4259052a0818f144d04fab03cc84f9a1fd3ab18 Aug-29-2025 01:05:27 PM UTC 5 BSC-USD

In 1951, two comics named Dennis the Menace launched. One in the U.S. and another in the U.K. Both starred a slingshot-wielding troublemaker. Same name, same character, same month. Weird thing is… There was zero communication between the two creators. They lived in different countries, worked in different media, and published within days of each other, completely independently. This is a textbook case of simultaneous discovery: When the same idea pops up in different minds, in different places, at the same time—without collaboration. It happens more than you might think. For example: In 1869, Dmitri Mendeleev said the periodic table came to him in a dream. That same year, Julius Lothar Meyer published nearly the same table—independently, in another country. In 1876, Alexander Graham Bell and Elisha Gray filed for the telephone on the exact same day, despite working on it independently and with no contact. (Bell got there first by just a few hours… the rest is history.) In the 1930s, Frank Whittle and Hans von Ohain built the jet engine—separately, without contact, in different countries. Both machines took flight within a decade. The same happened with the discoveries of oxygen and calculus. With photography. With sunspots. With Neptune. Different people. Different places. Same idea. Same time. And, in 2025, it just happened again… Not in a lab. Not in a university. Source: https://altucherconfidential.com/posts/the-trade-that-crashed-the-party Profits from free accurate cryptos signals: https://www.predictmag.com/

First prediction: AI infrastructure will become as essential as physical manufacturing infrastructure. Every company that builds a physical machine will also need to operate a second kind of factory: one that produces the AI brains for those machines. Cars and car minds. Drones and drone minds. Lawnmowers and—God help us—lawnmower minds. It’s not enough to build the hardware anymore. You’ll also need a dedicated system to build the software intelligence that controls it… An ongoing process of training, updating, and improving the models that govern behavior. At least, that’s how NVIDIA has stayed ahead. NVIDIA’s edge lies not just in hardware, but in its software moat—CUDA. This enables NVIDIA’s chips to get better over time, making them more valuable long after purchase. As a result, GPUs like Hopper (H100) retain 75–80% of their value even a year after release. (Unlike your car. Or your Peloton. Or that memecoin your cousin Todd made you buy.) But it was Huang’s next prediction that got the most airtime on X: “AI will create more millionaires in 5 years than the internet did in 20.” We’re used to hearing bold predictions from tech billionaires. But this one? If he’s right, we’re living in the single-biggest wealth transfer in history. Read that prediction again. Now look around: Has anything prepared you for that kind of wealth explosion? Probably not. So What’s the Play? You don’t need to code. You don’t need a VC fund or a PhD in computer vision. What you need is leverage. Here’s the simplified version of Jensen’s framework—translated from silicon-speak into plain English: Identify where AI removes friction: Wherever something is annoying, repetitive, or slow… AI is coming for it. Think infrastructure, not just products: Platforms, protocols, and pickaxes are where the real wealth is made. Bet on intelligence arbitrage: Those who move fastest to integrate AI will outcompete those still stuck in meetings. Capitalize on trust: AI is powerful. But people still crave humans they can trust. Be the bridge. This isn’t a gold rush. It’s something bigger. Gold rushes end. Infrastructure lasts generations. You’ll either look back at this moment and say: “I wish I started then…” Or: “Thank God I did.” Here’s What Steve Would Do When it comes to investing, the same rules apply: You won’t get outtraded by AI. You’ll get outtraded by Steves… who use AI. So what is Steve doing? He doesn’t code. He doesn’t day-trade. He thinks Python is just a brand of golf polo. But he’s definitely looking to use AI to spot under-the-radar opportunities in the markets. Models just like James’ DeepBlue 2.0. In the past, DeepBlue 2.0 flagged: Lockheed Martin before Russia invaded Ukraine Weight Watchers before Ozempic The 2020 crash before it hit CNBC Right now, as you read this, the next signal’s already loading.” – Chris Campbell (AltucherConfidential) Profits from free accurate cryptos signals: https://www.predictmag.com/

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